1. Data Analytics Needs Scenario Earth Science Data Analytics Federation of Earth Science Information Partners April 17, 2014 Joan L. Aron, Ph.D. Aron Environmental Consulting Columbia, Maryland

2. End User of Big Data Perspective of Risk Analysis Risk analysis for environmental issues. Trends (comparisons) across time and space. Other end user needs may be different. Example: Emergency response systems need the latest data but not historical data.

3. End User of Big Data Continuity of Data Continuity – Will these data continue? Continuity -- Criterion for usability of Big Data. Decennial census has constitutional mandate but mandates are not typical. Data re-analysis can provide continuity for multiple sources that may change over time. NASA has MERRA re-analysis of climate data supporting research on global climate models that determines spatial and temporal scales.

4. End User of Big Data Linkages of Data Linkages – Ability to link datasets from different agencies, sectors and/or disciplines. Linkages -- Criterion for usability of Big Data. Interagency Council on Climate Preparedness and Resilience (Co-Chairs: Council on Environmental Quality; Office of Science & Technology Policy; Assistant to President for Homeland Security & Counterterrorism) Executive Order 13653 (11/2013) -- Preparing the United States for the Impacts of Climate Change

5. End User of Big Data Linkages: Climate and Air Quality Higher temperatures in urban areas and likely associated increases in ground-level ozone exacerbate heart and lung diseases (US Climate Change Science Program). Air temperature inversion over Europe in mid- March 2014 trapped particulate matter, causing air quality crisis in Paris (Haze over France, NASA Earth Observatory, 3/18/2014).

6. End User of Big Data Linkages: Climate and Air Quality Air quality data: typically ground-based; satellite observations of aerosols Air quality data: concentrations of pollutants, alerts, impacts EPA Air Data: data from outdoor monitors as far back as 1980 http://semanticommunity.info/Data_Science/ Data_Science_for_EPA_Air_Data#Stor http://semanticommunity.info/Data_Science/ Data_Science_for_EPA_Air_Data#Stor

7. End User of Big Data Thanks for background information and helpful discussion from:  Brand Niemann (Semantic Community)  John Schnase (NASA)  Steve Kempler (NASA)